GenAI Lead Engineer (Investment Data Platforms)

**Key Responsibilities:**

• **GenAI Framework Development:** Develop custom frameworks using GPT APIs or LLaMA for alternate data analysis and insights generation. Optimize LLM usage for investment-specific workflows, including data enrichment, summarization, and predictive analysis.
• **Automation & Orchestration:** Design and implement document ingestion workflows using tools such as n8n (or similar orchestration frameworks). Build modular pipelines for structured and unstructured data.
• **Infrastructure & Deployment:** Architect deployment strategies on cloud (AWS, GCP, Azure) or private compute environments (CoreWeave, on-premises GPU clusters). Ensure high availability, scalability, and security in deployed AI systems.

**Qualification Required:**

• Strong proficiency in Python with experience in frameworks such as TensorFlow or PyTorch.
• 2+ years of experience in Generative AI and Large Language Models (LLMs).
• Experience with VectorDBs (e.g., Pinecone, Weaviate, Milvus, FAISS) and document ingestion pipelines.
• Familiarity with data orchestration tools (e.g., n8n, Airflow, LangChain Agents).
• Understanding of cloud deployments and GPU infrastructure (CoreWeave or equivalent).
• Proven leadership skills with experience managing cross-functional engineering teams.
• Strong problem-solving skills and ability to work in fast-paced, data-driven environments.
• Experience with financial or investment data platforms.
• Knowledge of RAG (Retrieval-Augmented Generation) systems.
• Familiarity with frontend integration for AI-powered applications.

- Exposure to MLOps practices for continuous training and deployment.,